Tijn M. Schouten

发表

Classification using fractional anisotropy predicts conversion in genetic frontotemporal dementia, a proof of concept

Frank de Vos, Jeroen van der Grond, Mark A. van Buchem, 2020, Brain communications.

A comprehensive analysis of resting state fMRI measures to classify individual patients with Alzheimer's disease

Reinhold Schmidt, Serge A. R. B. Rombouts, Jeroen van der Grond, 2018, NeuroImage.

Combining anatomical, diffusion, and resting state functional magnetic resonance imaging for individual classification of mild and moderate Alzheimer's disease

Tijn M. Schouten, S. Rombouts, R. Schmidt, 2016, NeuroImage: Clinical.

Pre-trained MRI-based Alzheimer's disease classification models to classify memory clinic patients

Rogier A. Feis, Tijn M. Schouten, S. Rombouts, 2020, NeuroImage: Clinical.

Combining multiple anatomical MRI measures improves Alzheimer's disease classification

Tijn M. Schouten, S. Rombouts, J. V. van Swieten, 2016, Human brain mapping.

Single Subject Classification of Alzheimer's Disease and Behavioral Variant Frontotemporal Dementia Using Anatomical, Diffusion Tensor, and Resting-State Functional Magnetic Resonance Imaging.

Rogier A. Feis, Tijn M. Schouten, W. M. van der Flier, 2018, Journal of Alzheimer's disease : JAD.

Single-subject classification of presymptomatic frontotemporal dementia mutation carriers using multimodal MRI

Rogier A. Feis, Tijn M. Schouten, S. Rombouts, 2018, NeuroImage: Clinical.

Resting state functional connectivity differences between behavioral variant frontotemporal dementia and Alzheimer's disease

Jeroen van der Grond, Anne Hafkemeijer, Frederik Barkhof, 2015, Front. Hum. Neurosci..

INDIVIDUAL CLASSIFICATION OF ALZHEIMER’S DISEASE WITH DIFFUSION MAGNETIC RESONANCE IMAGING

Reinhold Schmidt, Jeroen van der Grond, Mark de Rooij, 2017, Alzheimer's & Dementia.

A COMPREHENSIVE ANALYSIS OF RESTING STATE FMRI MEASURES TO CLASSIFY INDIVIDUAL PATIENTS WITH ALZHEIMER’S DISEASE

Reinhold Schmidt, Jeroen van der Grond, Mark de Rooij, 2017, Alzheimer's & Dementia.

Detection of mild cognitive impairment in a community‐dwelling population using quantitative, multiparametric MRI‐based classification

Rogier A. Feis, Tijn M. Schouten, S. Rombouts, 2019, Human brain mapping.

Multiple Approaches to Diffusion Magnetic Resonance Imaging in Hereditary Cerebral Amyloid Angiopathy Mutation Carriers

Rogier A. Feis, Tijn M. Schouten, S. Rombouts, 2019, Journal of the American Heart Association.

Individual classification of Alzheimer's disease with diffusion magnetic resonance imaging

Reinhold Schmidt, Mark de Rooij, Jeroen van der Grond, 2017, NeuroImage.

Pre-trained MRI-based Alzheimer's disease classification models to classify memory clinic patients

Rogier A. Feis, Tijn M. Schouten, S. Rombouts, 2020, NeuroImage: Clinical.

A multimodal MRI-based classification signature emerges just prior to symptom onset in frontotemporal dementia mutation carriers

Rogier A. Feis, Tijn M. Schouten, S. Rombouts, 2019, Journal of Neurology, Neurosurgery, and Psychiatry.

Single-subject classification of presymptomatic frontotemporal dementia mutation carriers using multimodal MRI

Rogier A. Feis, Tijn M. Schouten, S. Rombouts, 2019, NeuroImage: Clinical.

Erratum: Single-subject classification of presymptomatic frontotemporal dementia mutation carriers using multimodal MRI (NeuroImage: Clinical (2018) 20 (188–196), (S2213158218302262), (10.1016/j.nicl.2018.07.014))

Rogier A. Feis, Tijn M. Schouten, S. Rombouts, 2019 .

Detection of mild cognitive impairment in a community‐dwelling population using quantitative, multiparametric MRI‐based classification

Rogier A. Feis, Tijn M. Schouten, W. Niessen, 2019, Human brain mapping.